Overview
Truthful Text-to-SQL. Instantly.
Catch-Phrase: Text-to-SQL based on combinatorial search, not LLMs.
Truthful Text-to-SQL. Instantly.

Product video
Catch-Phrase is a front-end for natural language phrasal search, analytics, and update over SQL-based databases. Catch-Phrase is launched directly in your AWS account, giving you full control over configuration, data and security. Unlike LLM-based methods, Catch-Phrase uses combinatorial search to find all the meaningful interpretations of the user's prompt. If there are multiple possible interpretations or if the user is requesting a data modification, then Catch-Phrase paraphrases interpretations back to the user in English for selection or confirmation. This gives users full control over what SQL gets applied. Unlike LLM-based methods, Catch-Phrase answers the bulk of user questions in under one second. And it never hallucinates.
Non-technical users can 'google' the database using precise, often complex conditions. Results are specific values, lists, tables or charts. Users can share their questions in a single click and export results to CSV files for use in other tools. Shared questions become regular HTML links that can be embedded in documents and webpages so that when clicked upon, they let others execute the shared question over the database. Often users simply modify and click on canned common questions, integrity checks, KPI reports or data entry or modification forms. Users can also often be led through special data stories that take them through a predefined sequence of natural language prompts. Even the most non-technical users can find this point and click set-up very easy to use.
Catch-Phrase supports flexible cloud-based administration. Just log into the Admin Interface, connect to your remote database and automatically build an initial interface in under five minutes. Use editing tools to customize and refine an interface with synonyms, regular expressions, ellipsis, additional views and reports. Set up some corpora of common questions, integrity checks, KPI reports or data entry or modification forms. Launch a natural language interface and invite your users to access it. Now wait and explore and manage XML-based logs of user sessions to pinpoint where to improve your interface. Relaunch and repeat.
Each new release of Catch-Phrase comes with example configurations and databases. Launching Catch-Phrase will give you immediate access to these examples which you are free to adapt to your own purposes. The number of users and natural language interfaces per virtual machine is limited only by the size of the virtual machine you launch. It is quite likely all your needs will be met with a single small virtual machine.
At a technical level Catch-Phrase covers a wide fragment of SQL. Specifically it supports SQL select, insert, update and delete queries: Catch-Phrase can map natural language to OLTP and OLAP queries expressing regular conditions, set conditions, date and time conditions, superlatives, negations, universal and existential quantification, cardinality conditions, etc. Catch-Phrase also integrates well with transaction processing and database check-pointing via explicit SQL logging and the ability to start, abort or commit transactions.
Catch-Phrase supports open formats and APIs for full interoperability: All configuration for Catch-Phrase natural language interfaces is represented in a single XML file in a completely documented and open format. In addition, live natural language interfaces can be accessed via REST calls. This lets you embed natural language interfaces across many applications including those that use voice recognition. Finally, Catch-Phrase can easily be secured with certificates to allow for HTTPS access.
Highlights
- No Hallucinations: Always see how your prompt was interpreted.
- Blindingly fast: Sub-second response times
- Reuse prompts: One click integrity checks, KPI reports and data stories
Details
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Dimension | Cost/hour |
|---|---|
t3.small Recommended | $0.50 |
t2.micro AWS Free Tier | $0.25 |
t3.micro AWS Free Tier | $0.25 |
t2.large | $2.00 |
t3a.2xlarge | $8.00 |
t3a.xlarge | $4.00 |
t3a.large | $2.00 |
t3.large | $2.00 |
t3a.medium | $1.00 |
t3.2xlarge | $8.00 |
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
A new C-Phrase update: 1: Better alignment with documentation 2: Improved logging 3: Improved batchloader
Additional details
Usage instructions
The full documentation of C-Phrase is available at: https://c-phrase.com/documentationÂ
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During EC2 AMI launch step 3 (configure instance details) provide the following advanced detail user-data as text: #!/bin/bash /root/start-cp.sh
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In your security policies, allow ingress on port 9999 as well as a range of ports that you will run NLIs on (for example ports 8000-9998).
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Visit http://<IP-of-EC2-Instance>:9999 user name:admin password:<id-of-your-EC2-Instance>
For more details and instructions to change your user name/password visit https://c-phrase.com/documentation/on-aws.htmlÂ
Resources
Vendor resources
Support
Vendor support
We are interested to learn how you are using Catch-Phrase, thus we offer several hours of free support or consultation for our new customers. Please reach out to us at contact@c-phrase.com . We can also enter into support contracts to help customers integrate, author and extend Catch-Phrase to meet their specific needs. Finally we are always open to negotiate private offers and can offer Catch-Phrase at reduced or free prices for academic and other non-commercial use.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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